Agent skill

GCP Essentials

by ericrisco in ericrisco/rsc-harness

A skill your agent uses when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege…

MITAuto-check passedDevOps & Cloud

Install GCP Essentials

skills CLI
$ npx skills add ericrisco/rsc-harness --skill gcp-essentials -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ericrisco/rsc-harness gcp-essentials --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ericrisco/rsc-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gcp-essentials .claude/skills/gcp-essentials && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gcp-essentials
GitHub stars
156
Token cost
~3.7k tokens
SKILL.md length
1,157 words
Files
7 (incl. scripts, references)
Skills in repo
229
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege…

  • Works in 7 steps: Bootstrap a project → IAM without footguns → Cloud Run → …
  • Running a small product on core Google Cloud via the gcloud CLI: a project
  • SKILL.md covers 0. Bootstrap a project, 1. IAM without footguns, 2. Cloud Run and 3. Cloud Storage, plus 5 more sections
  • Runs Shell scripts from its folder; calls gcloud, openssl and bash; needs DB_PASSWORD

What it does

GCP Essentials is an agent skill from ericrisco/rsc-harness. Use when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege IAM wiring them together. NOT AWS (that is aws-essentials), NOT the CI pipeline that ships the image (that is deployment), NOT Postgres schema/query tuning (that is postgresdb).

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `evals/README.md`, `evals/cases.yaml` and `references/deploy-recipes.md`).

It sits in DevOps & Cloud, covering CI/CD, Query optimization and SQL. It works with Google Cloud, Amazon Web Services, Cloud Run and PostgreSQL. The repository describes itself as: Your agent invents things because it has no memory, and can't touch your database because it has no arms. rsc is the meta-harness that gives it both, plus the trade to know the… The licence is MIT.

When your agent uses it

  • Running a small product on core Google Cloud via the gcloud CLI: a project
  • Cloud Run deploys
  • A locked-down Cloud Storage bucket
  • Managed Cloud SQL

Example prompts

  • “/gcp-essentials”

Requirements

  • A Bash shell
  • Docker

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Bootstrap a project
  2. IAM without footguns
  3. Cloud Run
  4. Cloud Storage
  5. Cloud SQL
  6. Wire it together
  7. Cost & teardown

What it can do on your machine

Read from SKILL.md and the folder at commit 92fde8f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • gcloud
    • openssl
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gcloud, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DB_PASSWORD

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

GCP Essentials loads about 3.7k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 1,157 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ericrisco/rsc-harness at commit 92fde8f, republished under its MIT licence (© ericrisco). 1,157 words, ~3,721 tokens.

Download SKILL.mdSave it as .claude/skills/gcp-essentials/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
gcp-essentials
description
Use when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege IAM wiring them together. NOT AWS (that is `aws-essentials`), NOT the CI pipeline that ships the image (that is `deployment`), NOT Postgres schema/query tuning (that is `postgresdb`).
tags
gcp, cloud-run, cloud-sql, cloud-storage, iam, gcloud, serverless, devops
recommends
aws-essentials, docker, github-actions, secure-coding, postgresdb, deployment, monitoring, backups
origin
risco

GCP essentials

Get a small product running on the core of Google Cloud — safely and cheaply — with the gcloud CLI as the source of truth. The console is fine for reading; the CLI is what you commit, review, and reproduce. Bias toward secure-by-default and near-zero bill, not "every GCP service".

Four primitives carry most products, plus the project/billing scaffold under them:

  • IAM — who can do what. Get this wrong and nothing else matters.
  • Cloud Run — serverless containers, scale to zero.
  • Cloud Storage — object storage (buckets).
  • Cloud SQL — managed Postgres/MySQL.

Out of scope, route elsewhere: AWS -> ../aws-essentials/SKILL.md. Building/shipping the image itself -> ../docker/SKILL.md / ../github-actions/SKILL.md / ../deployment/SKILL.md. Postgres schema/index/query tuning -> ../postgresdb/SKILL.md. App-level injection/secret-handling review -> ../secure-coding/SKILL.md. Logging/alerting/SLOs as a practice -> ../monitoring/SKILL.md. Backup strategy as a discipline -> ../backups/SKILL.md. One-click PaaS where you never touch IAM/VPC -> ../vercel/SKILL.md / ../railway/SKILL.md / ../render/SKILL.md / ../fly-io/SKILL.md.

0. Bootstrap a project

One project per environment (e.g. acme-prod, acme-staging). Projects are the IAM and billing boundary; mixing prod and dev in one project is how a staging credential deletes prod data.

bash
# Create the project and point gcloud at it
gcloud projects create acme-prod --name="Acme prod"
gcloud config set project acme-prod
gcloud config set run/region europe-west1   # set once; every run command inherits it

# Link billing (no billing = APIs 403). Find your account id first:
gcloud billing accounts list
gcloud billing projects link acme-prod --billing-account=0X0X0X-0X0X0X-0X0X0X

# Enable ONLY the APIs this product needs. Why: every enabled API widens the
# attack surface and some bill the moment they are on.
gcloud services enable \
  run.googleapis.com \
  sqladmin.googleapis.com \
  storage.googleapis.com \
  secretmanager.googleapis.com \
  iam.googleapis.com

1. IAM without footguns

A binding is member + role on a resource. Members come in three flavours you will actually type:

Member typeSyntaxUse for
Useruser:alice@acme.coma human
Groupgroup:eng@acme.coma team (manage in Workspace)
Service accountserviceAccount:NAME@PROJ.iam.gserviceaccount.coma workload identity

Grant grammar — bind at the smallest resource that works (project here, but prefer bucket/instance scope when the role supports it):

bash
gcloud projects add-iam-policy-binding acme-prod \
  --member="serviceAccount:api@acme-prod.iam.gserviceaccount.com" \
  --role="roles/cloudsql.client"

Choosing a role:

Role kindExampleWhen
Primitiveroles/owner, roles/editorAlmost never on a workload — project-wide, far too broad.
Predefinedroles/storage.objectAdminDefault. Google-maintained, scoped to one service.
Customyour own permission listOnly when no predefined role fits — you now own the upkeep.

Two hard rules, each with teeth:

  1. Never run a workload as the default compute service account. It carries Editor on the whole project, so a single RCE in your container = full project takeover. Mint a dedicated SA per service and pass it explicitly (see Cloud Run).
    bash
    gcloud iam service-accounts create api-sa --display-name="api runtime"
  2. Never create service-account JSON keys. A leaked key is a long-lived, un-rotated credential. Use the attached SA on Cloud Run/Compute, and Workload Identity Federation for external/CI auth (GitHub Actions). If ... keys create is in your runbook, the runbook is wrong.

The predefined-role catalog, WIF for keyless CI, SA impersonation, IAM Recommender and Conditions live in references/iam-and-auth.md.

2. Cloud Run

Minimal safe deploy: dedicated runtime SA, explicit region, no anonymous ingress.

bash
gcloud run deploy api \
  --image=europe-west1-docker.pkg.dev/acme-prod/app/api:1.4.0 \
  --region=europe-west1 \
  --service-account=api-sa@acme-prod.iam.gserviceaccount.com \
  --no-allow-unauthenticated
  • --service-account sets the runtime identity. Omit it and the revision runs as the over-privileged default compute SA — the rule-1 footgun. Always pass it.
  • --no-allow-unauthenticated keeps the service private (callers need roles/run.invoker). Flip to --allow-unauthenticated only for a genuinely public endpoint. Open by accident and you have shipped an unauthenticated API.

Production knobs:

bash
# Cold starts hurt: pin a warm instance and boost CPU on startup.
# Default min-instances is 0 (scales to zero); default max is 100 (your cost ceiling).
gcloud run services update api --region=europe-west1 \
  --min-instances=1 --cpu-boost --max-instances=20

Config vs secrets — secrets never go in --set-env-vars, because env vars show up in plaintext in describe, logs and the console. Mount them from Secret Manager:

bash
gcloud run deploy api --region=europe-west1 \
  --service-account=api-sa@acme-prod.iam.gserviceaccount.com \
  --set-env-vars="LOG_LEVEL=info" \
  --set-secrets="DB_PASSWORD=db-password:latest"

3. Cloud Storage

Create buckets locked down; loosen deliberately, never the reverse.

bash
gcloud storage buckets create gs://acme-prod-uploads \
  --location=europe-west1 \
  --uniform-bucket-level-access \
  --public-access-prevention
  • --uniform-bucket-level-access (UBLA) turns off per-object ACLs so access is only IAM — one place to reason about, one place to audit. There is a 90-day window to revert UBLA; after that it is permanent, so set it at creation.
  • --public-access-prevention makes a public grant impossible even by mistake.

Grant access to the workload, not the world:

bash
gcloud storage buckets add-iam-policy-binding gs://acme-prod-uploads \
  --member="serviceAccount:api-sa@acme-prod.iam.gserviceaccount.com" \
  --role="roles/storage.objectAdmin"

Need to hand a file to an anonymous browser? Use a signed URL (time-limited), never allUsers:

bash
gcloud storage sign-url gs://acme-prod-uploads/report.pdf --duration=15m \
  --impersonate-service-account=api-sa@acme-prod.iam.gserviceaccount.com

--impersonate-service-account is not decoration. Signing needs a private key, and the keyless model this skill mandates (attached SA, no JSON keys) hands you an ADC token, not a key. The flag tells gcloud to sign via the IAM signBlob API instead — so the caller must hold roles/iam.serviceAccountTokenCreator (which grants iam.serviceAccounts.signBlob) on api-sa. Without it, the command fails or silently wants a key file, which would reopen the rule-2 footgun. Grant it once:

bash
gcloud iam service-accounts add-iam-policy-binding \
  api-sa@acme-prod.iam.gserviceaccount.com \
  --member="serviceAccount:api-sa@acme-prod.iam.gserviceaccount.com" \
  --role="roles/iam.serviceAccountTokenCreator"

Durability one-liners:

bash
gcloud storage buckets update gs://acme-prod-uploads --versioning      # keep old versions
gcloud storage buckets update gs://acme-prod-uploads \
  --lifecycle-file=lifecycle.json                                      # auto-expire/age out

4. Cloud SQL

Create a managed Postgres with a private IP and no public IP — the public IP is the part that gets scanned and brute-forced.

bash
gcloud sql instances create acme-db \
  --database-version=POSTGRES_16 \
  --edition=ENTERPRISE \
  --region=europe-west1 \
  --tier=db-f1-micro \
  --no-assign-ip \
  --network=projects/acme-prod/global/networks/default

--edition=ENTERPRISE is mandatory here, not optional. From POSTGRES_16 up the default edition is Enterprise Plus, which only runs on N2/C4A/N4 machine series — the shared-core db-f1-micro is an Enterprise-only tier, so the create fails without this flag. Want the cheapest box? Stay on Enterprise. Reach for Enterprise Plus only when you actually need its dedicated cores and faster failover, and drop --tier for a --cpu/--memory pair then.

Put the password in Secret Manager, not in a flag or a file:

bash
gcloud sql users create app --instance=acme-db --password="$(openssl rand -base64 24)"
printf '%s' "$(openssl rand -base64 24)" | \
  gcloud secrets create db-password --data-file=-

Attach the instance to Cloud Run — serverless connects over a Unix socket, no Auth Proxy sidecar needed:

bash
gcloud run deploy api --region=europe-west1 \
  --service-account=api-sa@acme-prod.iam.gserviceaccount.com \
  --add-cloudsql-instances=acme-prod:europe-west1:acme-db \
  --set-secrets="DB_PASSWORD=db-password:latest"
# In the app, connect via the socket:
#   host=/cloudsql/acme-prod:europe-west1:acme-db

The Cloud SQL Auth Proxy (short-lived certs, TLS 1.3) is for connecting from outside — local dev or a non-serverless host — not for Cloud Run. Direct VPC egress vs legacy connectors, private IP / PSC, proxy invocation and pooling are in references/networking-and-sql.md.

Show full SKILL.md (396 more words)Show less

5. Wire it together

One service, one dedicated SA, exactly the roles it needs — and nothing else.

bash
# Identity
gcloud iam service-accounts create api-sa --display-name="api runtime"
SA=api-sa@acme-prod.iam.gserviceaccount.com

# Exactly four predefined roles. No Editor, no Owner.
gcloud projects add-iam-policy-binding acme-prod \
  --member="serviceAccount:$SA" --role="roles/cloudsql.client"
gcloud secrets add-iam-policy-binding db-password \
  --member="serviceAccount:$SA" --role="roles/secretmanager.secretAccessor"
gcloud storage buckets add-iam-policy-binding gs://acme-prod-uploads \
  --member="serviceAccount:$SA" --role="roles/storage.objectAdmin"

# Deploy with all three wired in
gcloud run deploy api --region=europe-west1 \
  --image=europe-west1-docker.pkg.dev/acme-prod/app/api:1.4.0 \
  --service-account="$SA" \
  --no-allow-unauthenticated \
  --add-cloudsql-instances=acme-prod:europe-west1:acme-db \
  --set-secrets="DB_PASSWORD=db-password:latest" \
  --set-env-vars="BUCKET=acme-prod-uploads"

Note the scoping: cloudsql.client is project-wide (the role needs it), but the storage and secret grants are bound to the specific bucket and secret, not the project. Grant narrow.

Copy-paste runbooks for each piece — image build and push, private container deploy, attach SQL, mount a secret, full teardown — are in references/deploy-recipes.md.

6. Cost & teardown

  • Cloud Run scales to zero by default — an idle service costs ~nothing. Keep --min-instances=0 on staging.
  • Cap blast radius with --max-instances and a budget alert (full command in references/deploy-recipes.md):
    bash
    gcloud billing budgets create --billing-account=0X0X0X-0X0X0X-0X0X0X \
      --display-name="acme-prod" --budget-amount=50 \
      --threshold-rule=percent=0.9
  • Tear down in dependency order so nothing dangles:
    bash
    gcloud run services delete api --region=europe-west1
    gcloud sql instances delete acme-db
    gcloud storage rm --recursive gs://acme-prod-uploads

Anti-patterns

BadGoodWhy
Deploy with no --service-accountPass a dedicated per-service SADefault compute SA has Editor; an RCE becomes project takeover
gcloud iam service-accounts keys create key.jsonAttached SA + Workload Identity FederationJSON keys are long-lived, leak, and are rarely rotated
--role=roles/editor on a workload SAScoped predefined roles (cloudsql.client, …)Primitive roles grant far more than the service needs
Bucket public via allUsersSigned URL via --impersonate-service-account (+ Token Creator)A public bucket is a data leak; keyless signing needs signBlob, not a key file
Bucket created without UBLA/PAP--uniform-bucket-level-access --public-access-prevention at createACLs sprawl; PAP blocks accidental public grants
Cloud SQL with public IP open to 0.0.0.0/0--no-assign-ip + private IP / Auth ProxyPublic DB IPs get scanned and brute-forced
Secrets in --set-env-vars--set-secrets from Secret ManagerEnv vars are plaintext in describe, logs, console
gcloud services enable everythingEnable only the APIs you useEach API widens attack surface; some bill on enable
No --min-instances on prod, then blame cold starts--min-instances=1 --cpu-boost on prodScale-to-zero is the cause; pin a warm instance
Auth Proxy sidecar on Cloud Run--add-cloudsql-instances + /cloudsql/... socketServerless connects natively; the proxy is for outside-VPC

Verify

scripts/verify.sh is an offline static linter (no GCP calls, no network) over files that contain gcloud command blocks. It flags the unsafe patterns above: JSON key creation, roles/owner|roles/editor bound to a service account, bucket creates missing UBLA/PAP, Cloud SQL public IP without private IP, and Cloud Run deploys missing --service-account.

bash
bash scripts/verify.sh path/to/runbook.sh        # one file
bash scripts/verify.sh path/to/dir/              # recurse a directory

It prints PASS/FAIL per check and exits nonzero on any FAIL. An empty or clean target passes (exit 0).

© ericrisco, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in skills/gcp-essentials of ericrisco/rsc-harness.

  • SKILL.md
  • evals/README.md
  • evals/cases.yaml
  • references/deploy-recipes.md
  • references/iam-and-auth.md
  • references/networking-and-sql.md
  • scripts/verify.sh

Open the folder on GitHubat commit 92fde8f

Compare with similar skills

GCP Essentials next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

GCP Essentials compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GCP Essentials this skillericrisco/rsc-harness156—~3.7kAutomated safety check: PassMIT
Broccoli Oss GCP Deploybesimple-oss/broccoli286—~4.1kAutomated safety check: PassMIT
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2596 repos~1.1kAutomated safety check: NotesCustom licence
Multi Cloud ArchitectureHermeticOrmus/LibreUIUX-Claude-Code11110 repos~1.2kAutomated safety check: PassMIT
Aurora Dsqlaws/agent-toolkit-for-aws2.8k—~9.6kAutomated safety check: PassApache-2.0
Dd GCP Integrationdatadog-labs/agent-skills177—~8kAutomated safety check: NotesMIT

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Categories

Questions about GCP Essentials

What does GCP Essentials do?

A skill your agent uses when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege…. GCP Essentials is an agent skill from ericrisco/rsc-harness. Use when running a small product on core Google Cloud via the gcloud CLI: a project, Cloud Run deploys, a locked-down Cloud Storage bucket, managed Cloud SQL, and least-privilege IAM wiring them together.

When should I use GCP Essentials?

GCP Essentials fits situations like: running a small product on core Google Cloud via the gcloud CLI: a project; cloud Run deploys; A locked-down Cloud Storage bucket; managed Cloud SQL.

How do I install GCP Essentials in Claude Code?

Run `npx skills add ericrisco/rsc-harness --skill gcp-essentials -a claude-code`. Or copy the skill folder (skills/gcp-essentials in ericrisco/rsc-harness) into .claude/skills/gcp-essentials in your project. Claude Code loads it when a task matches its description.

How do I install GCP Essentials in Codex?

Run `npx skills add ericrisco/rsc-harness --skill gcp-essentials -a codex`. Or copy the skill folder (skills/gcp-essentials in ericrisco/rsc-harness) into .agents/skills/gcp-essentials in your project. Codex loads it when a task matches its description.

Can I use GCP Essentials in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ericrisco/rsc-harness --skill gcp-essentials -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gcp-essentials, .gemini/skills/gcp-essentials, .github/skills/gcp-essentials and .opencode/skills/gcp-essentials in your project.

What does GCP Essentials need to run?

Going by SKILL.md and its folder, GCP Essentials needs a shell for the scripts in its folder, the command-line tools its instructions call (gcloud, openssl and bash) and credentials named DB_PASSWORD. Our summary lists: A Bash shell; Docker.

Does GCP Essentials access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is GCP Essentials safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does GCP Essentials use?

GCP Essentials is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does GCP Essentials use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to GCP Essentials?

Skills that share tags, products or a category with GCP Essentials: Broccoli Oss GCP Deploy (besimple-oss/broccoli, 286 stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 259 stars), Multi Cloud Architecture (HermeticOrmus/LibreUIUX-Claude-Code, 111 stars) and Aurora Dsql (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GCP Essentials?

ericrisco (a GitHub user) maintains it in ericrisco/rsc-harness, which has 156 GitHub stars. The repository holds 229 skills in this directory. The repository was last updated on October 6, 2026.

Source: ericrisco/rsc-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.